Painting a Clearer Picture of the Heart with Machine Learning

Painting a Clearer Picture of the Heart with Machine Learning

Source: IBM

Coronary Artery Disease (CAD) is a condition in which plaque forms on the walls of coronary arteries, causing them to narrow. Eventually, this could lead to a heart attack, or death. This condition is now the single largest health problem in the world, with over one million people in the US undergoing cardiac catheterization – where a stent is placed in the artery to prevent blockage – each year.

To help improve the efficiency of diagnosis, clinicians are exploring new ways to measure artery blockage using virtual Fractional Flow Reserve (vFFR). vFFR involves the use of X-ray angiograms and Computational Fluid Dynamics (CFD), a method of modelling that combines mathematics and data to understand the movement of fluids and simulate blood flow in coronary arteries. This simulation completely replaces the need for a pressure wire catheter, a requirement for patients undergoing traditional FFR, meaning patients are no longer required to undergo hyperemic agent injections. Read entire article…

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